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Michal Ronen

Researcher at Weizmann Institute of Science

Publications -  6
Citations -  2139

Michal Ronen is an academic researcher from Weizmann Institute of Science. The author has contributed to research in topics: Gene & Operon. The author has an hindex of 6, co-authored 6 publications receiving 1981 citations.

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A comprehensive library of fluorescent transcriptional reporters for Escherichia coli

TL;DR: A library of transcriptional fusions of gfp to each of about 2,000 different promoters in E. coli K12, covering the great majority of the promoters in the organism, can serve as a tool for accurate, high-resolution analysis of transcription networks in livingE.
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Assigning numbers to the arrows: parameterizing a gene regulation network by using accurate expression kinetics.

TL;DR: The concentration profile of the master SOS transcriptional repressor can be calculated, demonstrating that relative protein levels may be determined from purely transcriptional data, and opening the possibility of assigning kinetic parameters to transcriptional networks on a genomic scale.
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Ordering genes in a flagella pathway by analysis of expression kinetics from living bacteria

TL;DR: The observed temporal program of transcription was much more detailed than was previously thought and was associated with multiple steps of flagella assembly.
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A conserved role for a GATA transcription factor in regulating epithelial innate immune responses

TL;DR: It is demonstrated that the tissue-specific GATA transcription factor ELT-2 is a major regulator of an early intestinal protective response to infection with the human bacterial pathogen Pseudomonas aeruginosa and that this function is conserved, because the human endodermal transcription factor GATA6 has a protective function in lung epithelial cells exposed to P. aerug inosa.
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Precise Temporal Modulation in the Response of the SOS DNA Repair Network in Individual Bacteria

TL;DR: The results, which reveal a hitherto unknown modulation of the SOS response, underscore the importance of carrying out dynamic measurements at the level of individual living cells in order to unravel how a natural genetic network operates at the systems level.